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  • Book Review: Site Reliability Engineering - How Google Runs Production Systems

    by on  Sep 21, 2016

    "Site Reliability Engineering - How Google Runs Production Systems" is an open window into Google's experience and expertise on running some of the largest IT systems in the world. The book describes the principles that underpin the Site Reliability Engineering discipline. It also details the key practices that allow Google to grow at breakneck speed without sacrificing performance or reliability.

  • Spark GraphX in Action Book Review and Interview

    by on  Sep 12, 2016

    “Spark GraphX in Action” book from Manning Publications, authored by Michael Malak and Robin East, provides a tutorial based coverage of Spark GraphX, the graph data processing library from Apache Spark framework. InfoQ spoke with authors about the book and Spark GraphX library as well as overall Spark framework and what's coming up in the area of graph data processing and analytics.

  • Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines

    by on  Aug 29, 2016

    InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline

Christine Doig on Data Science as a Team Discipline

Posted by on  Aug 26, 2016

Christine Doig spoke at OSCON Conference about data science as a team discipline and how to navigate data science Python ecosystem. InfoQ spoke with Christine about challenges of data science teams.

Book Review and Excerpt: Infrastructure as Code

Posted by on  Jul 25, 2016

We review the book Infrastructure as Code by Kief Morris, who lays down the foundation for Infrastructure as Code and outlines the main patterns and practices recommended for building it.

Big Data Analytics with Spark Book Review and Interview

Posted by on  Jun 23, 2016

Big Data Analytics with Spark, authored by Mohammed Guller, provides a practical guide for learning Apache Spark. InfoQ and the author discuss the book & development tools for big data applications.

Big Data Processing with Apache Spark - Part 4: Spark Machine Learning

Posted by on  May 15, 2016

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.

The Holistic Approach: Preventing Software Disasters

Posted by on  Apr 28, 2016

Olivier Bonsignour on what "X-Raying" software means, how it can help prevent software disasters and why CIOs should care. 3

The Role of a Data Scientist in 2016

Posted by on  Mar 27, 2016

Data Science has been getting lot of attention as organizations are starting to use data analytics to gain insights into their data. This article takes a closer look at Data Scientist role in 2016.

Unified Data Modeling for Relational and NoSQL Databases

Posted by on  Feb 28, 2016

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling. 5

Sourcing Security Superheroes: Part II: How Policy Can Enhance, Rather Than Hinder, Breach Detection

Posted by on  Feb 11, 2016

In theory, security policies protect organizations, stakeholders, and users. But in practice, organizations become more concerned with meeting these standards than protecting the business.

Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile

Posted by on  Jan 20, 2016

Our physical world is about to become digitally enabled and according to various predictions, there will be many billions of IoT devices going online and collecting data in the coming years. 2

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